for some covariance \(\Sigma _C\) . [1]} give \(\Sigma _C\)  in terms of the Cut-model elements. They show that \(\Sigma _C\ne \Sigma _F\)  in general, and so under the stated regularity conditions, the Cut-model posterior concentrates on the pseudo-true values, but does not have correct Frequentist coverage in the limit of large data. Since \(\delta \) -SMI is a kind of generalised Cut model (strictly a Cut at each \(\delta \) ) the same observations apply.
